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Towards a Maturity Model for Corporate Data Quality Management
ISBN
978-1-60558-166-8
Type
conference paper
Date Issued
2009
Author(s)
Editor(s)
Shin, Dongwan
Research Team
IWI2, CDQ
Abstract
High-quality corporate data is a prerequisite for world-wide business process harmonization, global spend analysis, integrated service management, and compliance with regulatory and legal requirements. Corporate Data Quality Management (CDQM) describes the quality oriented organization and control of a companys key data assets such as material, customer, and vendor data. With regard to the aforementioned business drivers, companies demand an instrument to assess the progress and performance of their CDQM initiative. This paper proposes a reference model for CDQM maturity assessment. The model is intended to be used for supporting the build process of CDQM. A case study shows how the model has been successfully implemented in a real-world scenario.
Language
English
Keywords
Corporate Data Quality
Controlling
Corporate Data Quality Maturity Assessment
Data Quality Management
HSG Classification
not classified
Refereed
Yes
Book title
Proceedings of the 2009 ACM Symposium on Applied Computing
Publisher
ACM
Publisher place
New York, NY
Start page
231
End page
238
Pages
8
Event Title
24th Annual ACM Symposium on Applied Computing (SAC)
Event Location
Honolulu, Hawaii, USA
Event Date
08.-12.03.2009
Subject(s)
Division(s)
Eprints ID
67808